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OasisLMS
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On Demand: Implantable Device Monitoring at a Cros ...
Webinar Recording
Webinar Recording
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Video Transcription
Video Summary
The webinar, moderated by Nicole Knight (MedAxiom), focused on implantable cardiac device monitoring as clinics face major workforce and operational risks heading into 2026. Panelists Dr. John Rogers (Scripps), Dr. James Allred (CV Remote Solutions), and Amber Seiler (CV Remote Solutions) described how device clinics are overwhelmed by rapidly growing volumes of remote monitoring data and alerts. Missing clinically meaningful events (e.g., AF, VT, pauses, lead noise) can endanger patients and create liability and burnout for staff and physicians.<br /><br />Key challenges include staffing shortages, “invisible” non-billable work (connectivity, patient education, troubleshooting), lack of transparency into workload, and wide variation in clinical standards across sites. Suggested solutions emphasized structured training (moving beyond “tribal knowledge”), purposeful standardization (connectivity at implant, consistent alert programming), and ongoing “weeding the garden” to reduce redundant/non-actionable alerts while preserving outcomes. Important metrics include number of patients by device type, compliance/connectivity, non-billable and non-actionable work rates, backlog, and time-to-review for transmissions.<br /><br />The panel discussed future direction: AI may improve efficiency but still requires clinical oversight, strong FDA-vetted validation, and governance. They predicted growth in EMR-integrated workflows to reduce manual work. For 2026 readiness, leaders should gain clarity on current performance, reduce noise, collaborate across clinicians/administration, support staff wellbeing, and consider external partnerships to stabilize operations.
Keywords
implantable cardiac device monitoring
remote patient monitoring alerts
device clinic staffing shortages
non-billable connectivity troubleshooting
alert fatigue noise reduction
standardized training clinical workflows
AF VT pause lead noise detection
EMR-integrated device management
AI validation governance FDA oversight
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